Proceedings of the 13th annual ACM international conference on Multimedia
Semantic Event Detection using Conditional Random Fields
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Time interval maximum entropy based event indexing in soccer video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Live sports event detection based on broadcast video and web-casting text
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Detection of slow-motion replay segments in sports video for highlights generation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
A Hierarchical Semantics-Matching Approach for Sports Video Annotation
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Knowledge-discounted event detection in sports video
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Highlight events detection in soccer video using HCRF
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Bayesian belief network based broadcast sports video indexing
Multimedia Tools and Applications
Affective video content representation and modeling
IEEE Transactions on Multimedia
Adaptive extraction of highlights from a sport video based on excitement modeling
IEEE Transactions on Multimedia
Semantic analysis of soccer video using dynamic Bayesian network
IEEE Transactions on Multimedia
A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video
IEEE Transactions on Multimedia
HMM based soccer video event detection using enhanced mid-level semantic
Multimedia Tools and Applications
Hi-index | 0.00 |
As one of the key technologies in soccer video retrieval and summarization, highlight extraction has great academic and application value. According to the principle that the observer's affection state would fluctuate with the evolution of game process when watching soccer match video, a novel highlight extraction approach based on the improved affection arousal model is proposed. Compared with the existing works, our main contributions include the following. A novel feature -- shot intensity is exploited to replace the motion activity, which greatly improves the computational performance of affection arousal model. Another helpful feature -- replay factor is designed and successfully fused into the affection arousal model. This makes the affection arousal model reflect the variation of the true match process more accurately. In addition, event temporal transition pattern (ETTP) in soccer video is utilized to detect highlights boundaries effectively combined with the affection arousal curve. Experiments conducted on real-world soccer game videos have demonstrated the efficiency and effectiveness of the proposed approach.